AIMC Topic: Ionic Liquids

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Comprehensive Evaluation of Human and Murine Protein Coronae Formed on Choline Carboxylic Acid Ionic Liquid-Modified PLGA Nanoparticles.

Bioconjugate chemistry
Despite decades of research, the successful clinical translation of intravenously administered nanomedicines is underwhelming. One significant barrier to progress is the opsonization and rapid clearance from the bloodstream due to protein corona form...

Insights into ionic liquid-enhanced membrane protein stability through machine learning and molecular simulations.

Physical chemistry chemical physics : PCCP
Protein stability plays a critical role in structural elucidation, enzyme activity, and the storage of protein drugs, where ionic liquids (ILs) have emerged as promising protein stabilizers due to their exceptional biocompatibility and superior solub...

Study on the Adsorption Performance of Ionic Liquids Based on Molecular Dynamics and Interpretable Machine Learning.

Journal of chemical information and modeling
The stable adsorption behavior of ionic liquid lubricants at metal interfaces is a key mechanism for achieving their excellent friction-reducing and antiwear properties. This study employs a research strategy that combines high-throughput molecular d...

Ionic liquids revolutionizing drug delivery: Recent advances and emerging opportunities.

Journal of controlled release : official journal of the Controlled Release Society
Ionic liquids (ILs) have emerged as a transformative platform in drug delivery, overcoming key limitations of conventional systems such as poor drug solubility, low bioavailability, and inadequate targeting. Through rational cation-anion engineering,...

Machine learning-assisted comparative QSTR, i-QSTTR, qRASTR, and i-qRASTTR modelling for toxicity of Ionic liquids against three different bacteria S. aureus, E. coli, and P. aeruginosa.

Journal of hazardous materials
Ionic liquids (ILs) with tunable structures have emerged as promising next-generation biocides. In this study, we presented an ML-based q-RASTR framework, along with i-qRASTTR approach, to predict the toxicity of ILs against different bacteria. Vario...

Apax: A Flexible and Performant Framework for the Development of Machine-Learned Interatomic Potentials.

Journal of chemical information and modeling
We introduce Atomistic learned potentials in JAX (apax), a flexible and efficient open source software package for training and inference of machine-learned interatomic potentials. Built on the JAX framework, apax supports GPU acceleration and implem...

Ionic liquids and lysosomotropic detergents as inhibitors of the SARS-CoV-2 main protease: QSAR modeling, synthesis and biological testing.

Biochemical and biophysical research communications
SARS-CoV-2 infection is highly contagious, prompting the World Health Organization to classify it as a global public health emergency. The virus has numerous potential hosts, which complicates efforts for effective prevention, diagnosis, and treatmen...

Deep Learning Approaches for Predicting the Surface Tension of Ionic Liquids.

Journal of chemical information and modeling
Ionic liquids (ILs) are a novel class of solvents that have attracted significant attention due to their unique and tunable properties. Among their physiochemical characteristics, surface tension plays a critical role in various industrial applicatio...

Application of machine learning approaches for estimating carbon dioxide absorption capacity of a variety of blended imidazolium-based ionic liquids.

Journal of molecular graphics & modelling
Ionic liquids (ILs) have gained attention in recent times as potentially effective absorbents for CO emissions owing to the number of their notable attributes, including reduced volatility, enhanced thermal consistency etc. Due to the number of chall...

Heat Capacity of Ionic Liquids: Toward Interpretable Chemical Structure-Based Machine Learning Approaches.

Journal of chemical information and modeling
This study focuses on predicting the heat capacity of pure liquid-phase ionic liquids (ILs) using machine learning models from various categories, including support vector machines, instance-based learning, ensemble learning, and neural networks, wit...